The question posed is whether the optimization methods of calculus that are often used in social and scientific analyses offer an appropriate analytical approach to analyze problems that are immersed in systemic complexity and its consequences. This paper refers to the portfolio of such complex problems belonging to social and scientific forces. We refer to such a complex combination by the term ‘socio-scientific’. In the study of socio-scientific complexity, dynamic preferences, intricate decisions, and uncertain behavior, endogenous (...) relations and systemic perturbations abound. The arguments presented in this paper establish that the methodological approach of optimization and steady-state equilibrium turns out to be nicety rather than objectivity in the presence of complexity. Complex situations of the socio-scientific universe cause perturbations in the variables; there explaining complexity formed by the social embedding of variables. Indeed, human individuals, institutions and governments, and society at large are complex interrelated entities. Therefore, complex interrelations caused by social embedding remain submerged in social perturbations. However, interactions arising from social embedding also generate endogenous and complex relations. The contribution of this paper is in the area of endogenous learning in the wellbeing objective criterion function. The interrelationships between the emergent cognitive variables now cause interactive embedding, complexity, and social perturbations. Yet such perturbations are not altogether uncontrollable. They can be and need to be controlled for the purposes of social explanation—hence demanding predictability—even as the complex nature of evolutionary systemic learning proceeds. The controllability problem of extreme perturbations leads us to formalize a mathematical methodology to study controllable perturbations while avoiding extreme forms of perturbations in socio-scientific theory. (shrink)

The book is a second volume of the project, which is focused on a systematic examination of aesthetic experience by the unification of philosophical and cognitive-scientific approaches to beauty and aesthetic experience. This volume is focused on the analysis of selected aspects of aesthetic experience, especially on methodological problems and aspects of philosophical and scientific research, the question of the complementarity and compatibility of methods, and needs to interdisciplinary and multidisciplinary research. Authors of the chapters are considering (...) about diverse areas of perception of beauty, e.g.: pleasure by face perception; the synchronicity by music; the problems of musical chills; the psychosomatic unity of dance; or the problem of development of aesthetic appreciation. (shrink)

The Cognitive Basis of Science concerns the question 'What makes science possible?' Specifically, what features of the human mind and of human culture and cognitive development permit and facilitate the conduct of science? The essays in this volume address these questions, which are inherently interdisciplinary, requiring co-operation between philosophers, psychologists, and others in the social and cognitive sciences. They concern the cognitive, social, and motivational underpinnings of scientific reasoning in children and lay persons as well (...) as in professional scientists. The editors' introduction lays out the background to the debates, and the volume includes a consolidated bibliography that will be a valuable reference resource for all those interested in this area. The volume will be of great importance to all researchers and students interested in the philosophy or psychology of scientific reasoning, as well as those, more generally, who are interested in the nature of the human mind. (shrink)

Science is a form of distributed analysis involving both individual work that produces new knowledge and collaborative work to exchange information with the larger community. There are many particular ways in which individual and community can interact in science, and it is difficult to assess how efficient these are, and what the best way might be to support them. This paper reports on a series of experiments in this area and a prototype implementation using a research platform called CACHE. (...) CACHE both supports experimentation with different structures of interaction between individual and community cognition and serves as a prototype for computational support for those structures. We particularly focus on CACHE‐BC, the Bayes community version of CACHE, within which the community can break up analytical tasks into “mind‐sized” units and use provenance tracking to keep track of the relationship between these units. (shrink)

This chapter subsumes David Marr’s levels of analysis account of explanation in cognitive science under the framework of mechanistic explanation: Answering the questions that define each one of Marr’s three levels is tantamount to describing the component parts and operations of mechanisms, as well as their organization, behavior, and environmental context. By explicating these questions and showing how they are answered in several different cognitive science research programs, this chapter resolves some of the ambiguities that remain in Marr’s (...) account, and shows that many different areas and traditions of cognitive scientific research can be unified under the mechanistic framework. (shrink)

Agroecological transitions aim at developing sustainable farming and food systems, adapted to local contexts. Such transitions require the engagement of local actors and the consideration of their knowledge and reasoning as a whole, which encompasses different natures of knowledge (empirical, scientific, local, generic), related to different dimensions (economic, environmental, technical, social, political), as well as their values and perceived uncertainties. While these transitions are often problematized in relation to technical issues, this article's objective is to start from the way (...) the local actors consider these transitions in order to see what issues are actually involved. In this study, we analyzed the reasoning of diverse farming actors, including farmers and farm advisors. We conducted 30 cognitive mapping interviews, during which the local actors drew cognitive maps to explicit their reasoning concerning their agroecological transition with an open approach. Their reasoning revealed an emphasis on the human & social dimension of the process of agroecological transitions: (i) human and social considerations come first in the transition process, while technical solutions are viewed as secondary, (ii) use and development of human capacities, social interactions and human well-being are crucial to the conduct of agroecological transitions, (iii) human-scale farming appears as a condition for the use of human capacities, human well-being and rural development, (iv) agroecological transitions imply farming advisory transitions, and (v) rural development appears as a condition for agroecological transitions, implying transitions in society as a whole. (shrink)

This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience. With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introduction is the best high-level overview of this area for an interdisciplinary readership of students. Written specifically for this volume by experts in their fields who are also experienced teachers, the book’s thirty chapters are organized into the following parts: I. Background Knowledge, II. Classical (...) Debates, III. Consciousness, IV. Crossing Boundaries. -/- Each chapter starts with relevant key words and definitions and a chapter overview, then presents historical coverage of the topic, explains and analyzes contemporary debates, and ends with a sketch of cutting edge research. A list of suggested readings and helpful discussion topics conclude each chapter. This uniform, student-friendly design makes it possible to teach a cohort of both philosophy and interdisciplinary students without assuming prior understanding of philosophical concepts, cognitive science, or neuroscience. -/- Key Features: -/- Synthesizes the now decades-long explosion of scientifically informed philosophical research in the study of mind. Expands on the offerings of other textbooks by including chapters on language, concepts and non-conceptual content, and animal cognition. Offers the same structure in each chapter, moving the reader through an overview, historical coverage, contemporary debates, and finally cutting-edge research. Packed with pedagogical features, like defined Key Terms, Suggested Readings, and Discussion Questions for each chapter, as well as a General Glossary. Provides readers with clear, chapter-long introductions to Cognitive Neuroscience, Molecular and Cellular Cognition, Experimental Methods in Cognitive Neuroscience, Philosophy of Mind, Philosophy of Science, Metaphysical Issues, and Epistemic Issues. (shrink)

Cognitive Science is a promising field of research that deals with one of the most fundamental questions ever: how do beings know? However, despite the long and extensive tradition of the field it has not yet become an area of knowledge with scientific identity. This is primarily due to three reasons: the lack of boundaries in defining the object of study, i.e. cognition, the lack of a precise, robust and consistent scientific methodology and results, and the (...) inner problems derived from its interdisciplinary nature. This paper presents a background review, a theoretical frame and a humble reflection on these topics in order to arouse the internal debate among readers once more. (shrink)

Philosophical attention to animals can be found in a wide range of texts throughout the history of philosophy, including discussions of animal classification in Aristotle and Ibn Bâjja, of animal rationality in Porphyry, Chrysippus, Aquinas and Kant, of mental continuity and the nature of the mental in Dharmakīrti, Telesio, Conway, Descartes, Cavendish, and Voltaire, of animal self-consciousness in Ibn Sina, of understanding what others think and feel in Zhuangzi, of animal emotion in Śāntarakṣita and Bentham, and of human cultural uniqueness (...) in Xunzi. In recent years, there has been increased attention to animal minds in philosophical discussions across many areas of metaphysics, epistemology, and value theory. Given that nonhuman animals share some biological and psychological features with humans, and that we share community, land, and other resources, consideration of nonhuman animals has much to contribute to our philosophical activities. -/- Contemporary philosophy of animal minds often also engages with the sciences of animal cognition and behavior. The science of comparative cognition is a thriving area of research, complementing the philosophical study in two ways. For one, philosophers of animal cognition can use claims resulting from animal cognition studies as premises in philosophical discussions. For example, Jacob Beck (2012) relies on pigeons’ abilities to compare quantities to argue for nonconceptual content; Sidney Carls-Diamante (forthcoming) appeals to octopus behavior and physiology to defend embodied cognition; Richard Moore (2016a) refers to ape gestural communication to rethink the requirements for intentional communication; Andrew Barron and Colin Klein (2016) appeal to insect cognition research to defend new theories of consciousness; Sarah Vincent, Rebecca Ring, and Kristin Andrews (2019) cite dolphins’ social practices to argue for the existence of norms that do not require metacognition. -/- In addition, philosophers of animal cognition can examine the epistemology and methods used to justify the claims that arise from the science. Research into animal cognition has resulted in surprising claims about animal capacities, such as sociality in garter snakes (Skinner & Miller 2020), tool-use in ants (Maák et al. 2017), mirror self-recognition in fish (Kohda et al. 2019), empathy in rats (Bartal et al. 2011), social learning in fruit flies (Danchin et al. 2018), episodic memory in dogs (Fugazza et al. 2020), addition and subtraction in bees (Howard et al. 2019). How should we evaluate such claims? -/- Some philosophers have argued that animal cognition research is held to a higher standard than human cognition research, and that scientists working with animals are sometimes asked to solve skeptical problems (Halina 2015). Others have challenged scientific assumptions about the relationship between brain size and intelligence, as well as biases against invertebrates (Mikhalevich & Powell 2020). -/- Animal cognition research challenges philosophers to consider that many capacities and behaviors often assumed to require language, sophisticated technological capacities, or legal systems may in fact be had by other animals who lack these properties. In this way, animal cognition research often surprises us by showing that sophisticated-looking activity can be caused through rather simple mechanisms. -/- 1. What is Animal Cognition? 2. Philosophical Assumptions in the Study of Animal Cognition 2.1 Theory-ladenness 2.2 Value-ladenness 2.3 Objectivity 2.4 Simplicity 2.5 Summary 3. Animal Cognition Applied to Philosophy 3.1 The problem of other minds 3.2 The mind-body problem 3.3 Consciousness 3.4 Thought 3.5 Communication 3.6 Social understanding 3.7 The influence of animal cognition on value theory 3.7.1 Ethics 3.7.2 Political theory 3.8 Summary Bibliography Academic Tools Other Internet Resources Related Entries. (shrink)

Few areas of study have led to such close and intense interactions among computer scientists, psychologists, and philosophers as the area now referred to as cognitive science. Within this discipline, few problems have inspired as much debate as the use of notions such as meaning, intentionality, or the semantic content of mental states in explaining human behavior. The set of problems surrounding these notions have been viewed by some observers as threatening the foundations of cognitive science as (...) currently conceived, and by others as providing a new and scientifically sound formulation of certain classical problems in the philosophy of mind. The chapters in this volume help bridge the gap among contributing disciplines-computer science, philosophy, psychology, neuroscience-and discuss the problems posed from various perspectives. (shrink)

The last 15 years or so has seen the development of a fascinating new area of cognitive science: the cognitive science of religion (CSR). Scientists in this field aim to explain religious beliefs and various other religious human activities by appeal to basic cognitive structures that all humans possess. The CSR scientific theories raise an interesting philosophical question: do they somehow show that religious belief, more specifically belief in a god of some kind, is irrational? (...) In this paper I investigate this question and argue that CSR does not show that belief in god is irrational. (shrink)

Can religious premises ever be cited legitimately in explanations of matters of fact? Scientific practice is generally regarded as the source of our explanatory paradigms and the final arbiter of matters of fact, and is so constituted that it could never endorse such explanations. Neither would they be sanctioned by the non-cognitive reconstructions of religious discourse currently fashionable. I argue: Some scientific constraints on explanations, such as consistency, testability, and corrigibility, are generally legitimate in non-scientific contexts. (...) Other cognitive values, such as clarity and simplicity, though not constraints, still have adequate credentials to serve globally in the evaluation of theories and explanations. In addition to these, science employs overtly ideological constraints on explanation, plus a number of parochial values, including control, replicability, and skepticism. These serve to circumscribe the range of acceptable explanations more narrowly than reasonable standards of rationality would necessitate. In particular, they are responsible for precluding religious explanations unnecessarily. ;Finally, one can reconstruct from religious contexts a system of cognitive values with broad application that takes exception to scientific norms pertaining to the status of teleological explanations, the ranking of outstanding problem areas in importance, the usefulness of anecdotal material, and the appropriateness of pragmatic conceptions of truth. The additional explanations this value structure sanctions will be less secure than scientific explanations generally, and somewhat idiosyncratic. They may be appropriate when no scientific explanations are possible or available, or if the religious explanation is teleological and the scientific explanation is not. Near-death experiences represent a major potential source of religious explanations, although one in great need of development. More generally, our ability to give religious explanations is hampered by inadequate theoretical articulations of the concept of God. (shrink)

Cognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering, and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n= 307) (...) mainly comprised students and post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analyzed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, and Biology), current researcher status (undergraduate student, PhD student, and post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods vs. non-methods (Psychology/Biology) groups was especially striking for questions related to signal analysis and linear algebra, two areas particularly relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programs in cognitive neuroscience institutions. We will provide practical suggestions on how to achieve this. (shrink)

Cognitive Literary Studies is gradually making its mark on the publishing world with a growing number of theoretical works that blend scientific approaches with the practice of literary theory. To some extent, this slowly emerging current could even be construed as the missing link, if not the ideal interface, between science and the humanities. At the crossroads of these two areas of study, Cognitive Literary Studies offers an extraordinary opportunity to bridge the “gulf of mutual incomprehension” between (...) literary intellectuals and scientists, one that C.P. Snow famously identified in the wake of World War II.1 Perhaps, along the way, this polymorphous field could even share “the excitement of connecting... (shrink)

Recently, several scholars have argued that scientists can accept scientific claims in a collective process, and that the capacity of scientific groups to form joint acceptances is linked to a functional division of labor between the group members. However, these accounts reveal little about how the cognitive content of the jointly accepted claim is formed, and how group members depend on each other in this process. In this paper, I shall therefore argue that we need to link (...) analyses of joint acceptance with analyses of distributed cognition. To sketch how this can be done, I shall present a detailed case study, and on the basis of the case, analyze the process through which a group of scientists jointly accept a new scientific claim and at a later stage jointly accept to revise previously accepted claims. I shall argue that joint acceptance in science can be established in situations where an overall conceptual structure is jointly accepted by a group of scientists while detailed parts of it are distributed among group members with different areas of expertise, a condition that I shall call a heterogeneous conceptual consensus. Finally, I shall show how a heterogeneous conceptual consensus can work as a constraint against scientific change and address the question how changes may nevertheless occur. (shrink)

Humans continuously delegate and distribute cognitive functions to the environment to lessen their limits. They build models, representations, and other various mediating structures, that are thought to be good to think. The case of scientific innovation is particularly important: the main aim of this paper is to revise and criticize the concept of scientific innovation, reframing it in what I will call an eco-epistemic perspective, taking advantage of recent results coming from the area of distributed cognition (...) (common coding) and abductive cognition (manipulative). Taking advantage of this eco-cognitive perspective the article outlines how innovative scientific modeling activity can be better described taking advantage of the concept of “epistemic warfare”, which sees scientific enterprise as a complicated struggle for rational knowledge in which it is crucial to distinguish epistemic (for example scientific models) from non epistemic (for example fictions, falsities, propaganda) weapons. (shrink)

The function and legitimacy of values in decision making is a critically important issue in the contemporary analysis of science. It is particularly relevant for some of the more application-oriented areas of science, specifically decision-oriented science in the field of regulation of technological risks. Our main objective in this paper is to assess the diversity of roles that non-cognitive values related to decision making can adopt in the kinds of scientific activity that underlie risk regulation. We start out, (...) first, by analyzing the issue of values with the help of a framework taken from the wider philosophical debate on science and values. Second, we study the principal conceptualizations used by scholars who have applied them to numerous case studies. Third, we appraise the links between those conceptualizations and learning processes in decision-oriented science. In this, we recur to the concept of methodological learning, i.e., learning about the best methodologies for generating knowledge that is useful for science-based regulatory decisions. The main result of our analysis is that non-cognitive values can contribute to methodological improvements in science in three principal ways: as basis for critical analysis, for contextualizing methodologies, and for establishing the burden of proof. (shrink)

In the last forty years, significant developments in neuroscience, psychology, and robotic technology have been cause for major trend changes in the philosophy of mind. One such shift has been the reallocation of focus from entirely brain-centered theories of mind to more embodied, embedded, and even extended answers to the questions, what are cognitive processes and where do we find such phenomena? Given that hypotheses such as Clark and Chalmers‘ (1998) Extended Mind or Hutto‘s (2006) Radical Enactivism, systematically undermine (...) the organism-bound, internal, and static pictures of minds and allow instead for the distribution of cognitive processes among brains, bodies, and worlds, a worry that arises is that the very subject of cognitive science, the ‗cognizer‘ will be hopelessly opaque, its mind leaking out into the world all over the place, thereby making it impossible to rein in and properly study. A seemingly unrelated and yet parallel trend has also taken place in feminist theorizing about the body over the last forty years. Whereas feminism of the 1970s and early 1980s tended to view ‗the body‘ as the site and matter of biological sex, while gender was a more fluid and socially constituted mode of existence, more recent feminist theory has questioned the givenness of bodies themselves. In other words, rather than seeing gender categories as manifestations of the already given sexed body, thinkers such as Butler (2000) and Lorber (1992) argue that the very notion of a body is often a product of scientific inquiry, which is itself a product of the power structures aiming to maintain a rigid binary between feminine and masculine gender roles. If the world at large plays such a constitutive role in determining who we are, then this implies that the tools we use, the language we speak, and the power relationships in which we are enmeshed are components of what it means to be embodied in any genuine sense. For thinkers like Haraway (1988) the image of the cyborg is most fitting for this new understanding of embodied subjects, as the cyborg is a coupling of machine and human. Gender and even biological sex will always be a technologically hybridized ‗monster‘ consisting of matter, machine, and mind. The overall aim of my project is thus to bring the two concurrent developments in theorizing about embodied subjects into discourse. As the cyborg features largely in recent feminist thought about embodiment, so too has it been a prominent metaphor in philosophy of mind, ever since Clark (2003) claimed that we ought to think of our ‗selves‘ more appropriately as Natural-Born Cyborgs. I therefore focus on this imagery as I go on to make the argument that this distributed account of cognition as well as of sexual identity is more fruitful for making progress in understanding ‗the human‘ more generally. Likewise, I argue that bringing the discussion of sex and gender into the arena of an otherwise asexual philosophy of mind, will shed light on some important facets of embodiment that have been overlooked but that ought to be addressed if we are to have an adequate account of ‗the proper subject of cognitive science.‘ My chapters include 1) a survey of the discourse between science and philosophy of mind leading to these embodied and extended approaches, 2) a first attempt at defending the extended mind thesis, 3) a discussion of how even the supposed resolution to the objections raised against extended cognition fails to properly take into account just how problematic subjectivity is, regardless of its being defined entirely organismic or not, as organisms themselves are highly malleable and socially constituted, 4) an explanation concerning how the same problematization of embodied subjectivity is ongoing in feminist theory, especially considering the phenomenology of transgendered embodiment, intersex, and technologically mediated bodies, 5) further elaboration on technologically enhanced bodies, exposing what I see as a continuum between bodies modified by ‗hard‘ technologies, such as implants, prostheses or surgeries, and those modified by ‗soft‘ technologies, such as gender norms, the social gaze, and technologically mediated metacognition, and last, 6) an argument for the image of the cyborg to replace ‗organism‘ in cognitive science, along with the corollary argument that cyborgs ought to represent not just embodied minds, but should also be the metaphor in attempting to understand ‗embodiment‘ more generally, which must, at its roots, be underpinned by gender and sexual identity. I argue that the imagery is fitting for the proper study of cognitive subjects as well as sexed and gendered bodies, but moreover, that just as the cyborg suggests a blending and hybridizing of seemingly unrelated elements, so too should the two areas of inquiry, philosophy of mind and feminist theory, pay heed to one another‘s use of this imagery and themselves begin to be more integrative in their approaches. (shrink)

Up to the 1960s, psychology was deeply under the influence of behaviourism, which focused on stimuli and responses, and regarded consideration of what may happen in the mind as unapproachable scientifically. This began to change with the devising of methods to try to tap into what was going on in the 'black box' of the mind, and the development of 'cognitive psychology'. With the study of patients who had suffered brain damage or injury to limited parts of the brain, (...) outlines of brain components and processes began to take shape, and by the end of the 1970s, a new science, cognitive neuroscience, was born. But it was with the development of ways of accessing activation of the working brain using imaging techniques such as PET and fMRI that cognitive neuroscience came into its own, as a science cutting across psychology and neuroscience, with strong connections to philosophy of mind. Experiments involving subjects in scanners while doing various tasks, thinking, problem solving, and remembering are shedding light on the brain processes involved. The research is exciting and new, and often makes media headlines. But there is much misunderstanding about what brain imaging tells us, and the interpretation of studies on cognition. In this Very Short Introduction Richard Passingham, a distinguished cognitive neuroscientist, gives a provocative and exciting account of the nature and scope of this relatively new field, and the techniques available to us, focusing on investigation of the human brain. He explains what brain imaging shows, pointing out common misconceptions, and gives a brief overview of the different aspects of human cognition: perceiving, attending, remembering, reasoning, deciding, and acting. Passingham concludes with a discussion of the exciting advances that may lie ahead.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable. (shrink)

A great deal of research has been done on the origin of belief and its effects on human beings. In recent years, these researches are not only limited to the theological field, but also continued by various branches of science. Scientific disciplines that investigate different dimensions of belief have made some explanations about the origins of belief under titles such as cognitive science, mental science, evolutionary theory and genetics, but these results have been someti-mes discussed and criticized. Studies (...) on this subject have not yet achieved a general consis-tency so far. In the last century, there has been a great increase in the number of such studies. Before the 1970s, there was an understanding that tried to explain the issue from an evolutio-nary perspective. The interest in the source of human belief started especially in the field of biology and has been supported by many systematic scientific studies. These types of studies tried to understand and explain the biological origins of belief, but did not go beyond labora-tory experiences. These studies associated belief with certain diseases, attempted to explain biologically different versions of belief, tried to explain the relationship between brain mobi-lity and religious experience, and searched for a separate God Gene and God Field. This article focuses on the psychological basis of the subject, and then the biological basis of the subject. Studies on consciousness, unconsciousness, death, diseases, and many psychological disorders handled in different ways the relation with belief. Such basic human processes are tried to be explained in relation to many areas such as health, spirituality and culture. Socio-biology, evo-lutionary psychology, and contemporary cognitive sciences have carried out a series of studies on this subject, especially looking for the foundations of belief. Since the 1970s, there have been some attempts in biology, especially depending on the developments in science and tech-nology. These studies mostly claim that “the ability to believe” is innate in humans and is parti-ally supported by some scientific discussions. Scientists who seek the source of belief directly in biology follow the hypothesis that the temporal lobe of the brain is the source of religious and mystical experience. Neurologists have focused on the prefrontal cortex of the brain and suggested that this region of the brain may be related to religion and belief. These studies are the continuation of other research that started earlier and searched for belief, spirituality, and God in a certain region of the brain. In these studies, conceptualizations such as “the God spot” and “the God module” have been made instead of the concept of the “God gene.” As a result, studies on religion and brain will increasingly come to the fore. Studies on this subject have opened a new door in terms of showing the relationship between religious belief, attitudes and behaviors and the brain. However, more studies are needed in this area in order to understand more accurately and fully the relationship between religious beliefs or experiences and physi-cal processes because most of the studies on this subject have focused on Christians and Budd-hists. Although a serious relationship has not been established between religion and biology until now, it is likely that these issues will come to the fore more frequently from now on. These studies which investigate whether there is a relationship between believing and the brain are called neurotheology. In this study, the developmental process of neurotheology as a science and the studies in this field were examined by literature and document review. Studies conducted in the last hundred years were systematically examined and the current situation was discussed. (shrink)

What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge.First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to (...) engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. (shrink)

The purpose of this paper is to apply theEntrenchment-and-Conventionalization Model(EC-Model hereafter; seeSchmid 2014,2015,2016,2017,2018;Schmid & Mantlik 2015) of language knowledge to genre, with the aim of showing how a unified theory of the relation between usage and linguistic knowledge and convention can shed light on the way genre knowledge becomes entrenched in the individual and shared conventional behavior in communities. The EC-Model is a usage-based and emergentist model of language knowledge and convention rooted in cognitive linguistics and usage-based approaches. It (...) sees knowledge as emerging from language usage, and explains the processes underlying the intertwining of social practice and cognition. However, so far, no suggestion has been advanced on how to extend the model to account for entrenchment and conventionalization at the supra-sentential level. In the area of genre studies various attempts have been made by scholars to develop or apply theories belonging to different scientific domains to understand the nature of genre. However, so far, there has been no research that applies a unified model in the attempt to link entrenchment of genres in individuals to their conventionalization at the societal level. I largely focus on the long tradition of rhetorical studies of genre, one among the different approaches that, over time, have regarded genre as their main topic of investigation. I concentrate on this tradition as it opens up the entire field of enquiry that defines contemporary genre research. To these I add by showing how the explanations provided so far can be cognitively clarified and unified under the EC-Model. The paper, then, argues that the EC-Model is theoretically apt to address questions about the nature of genre, capturing in an elegant way the interplay between cognition and social interaction in genre emergence, evolution, stabilization and variation. (shrink)

In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive (...) capacities. Once such mechanistic understanding is achieved, cognitive capacities purportedly will be relegated into natural kind categories that correspond to real divisions in the causal structure of the world. I provide reasons here, however, in support of the claim that the neurosciences of cognition currently are not on a trajectory for discovering natural kinds. As I explain, this has to do with how mechanistic explanations of cognitive capacities are developed. Mechanistic explanations and the kinds they explain are abstract representational byproducts of the conceptual, experimental and integrative practices of neuroscientists. If these practices are not coordinated towards developing mechanistic explanations that mirror the causal structure of the world, then natural kinds of cognitive capacities will not be discovered. I provide reasons to think that such coordination is currently lacking in the neurosciences of cognition and indicate where changes in these practices appropriate to the natural kinds ideal would be required if achieving this ideal is indeed the goal. However, I suggest that an evaluation of current practices in these research areas is suggestive that discovering natural kinds of cognitive capacities is not the goal. (shrink)

Take part... and you will bear witness to the semiotic nature of human animals. This event, commented by Charbel Niño El-Hani (Federal University of Bahia) and chaired by Elma Berisha (Lyceum Institute), is part of the activities of the 2022 International Open Seminar on Semiotics: a Tribute to John Deely on the Fifth Anniversary of His Passing, cooperatively organized by the Institute for Philosophical Studies of the Faculty of Arts and Humanities of the University of Coimbra, the Lyceum Institute, the (...) Deely Project, Saint Vincent College, the Iranian Society for Phenomenology at the Iranian Political Science Association, the International Association for Semiotics of Space and Time, the Institute for Scientific Information on Social Sciences of the Russian Academy of Sciences, the Semiotic Society of America, the American Maritain Association, the International Association for Semiotic Studies, the International Society for Biosemiotic Studies, the International Center for Semiotics and Intercultural Dialogue, Moscow State Academic University for the Humanities and the Mansarda Acesa with the support of the FCT - Foundation for Science and Technology, I.P., of the Ministry of Science, Technology and Higher Education of the Government of Portugal under the UID/FIL/00010/2020 project. *** Jamin Pelkey is Associate Professor and Program Director in the Department of Languages, Literatures and Cultures at Ryerson University, Toronto, where he is also an active faculty member in the Ryerson-York graduate program in Communication & Culture. He serves as Co-Editor of Semiotica, Vice President of the International Association for Cognitive Semiotics, and executive board member for the International Cognitive Linguistics Association, the International Society for Biosemiotic Studies, and the Semiotic Society of America. Jamin’s research explores semiotic dimensions of language evolution and embodied cognition. He is the recipient of the 2017 Mouton d’Or Award for best article in Semiotica and has edited or co-edited twelve collections in linguistics, anthropology, and semiotics, including Tropological Thought and Action (2022), Cognitive Semiotics (2019), Applied Brand Semiotics (2018), Archaeology of Concepts (2018), Sociohistorical Linguistics in Southeast Asia (2017), Virtual Identities (2016), and The Semiotics of Paradox (2015). His authored books include Dialectology as Dialectic (2011) and The Semiotics of X (2017). He is currently editing Bloomsbury Semiotics, a major reference work in four volumes. *** Charbel N. El-Hani is full professor in the Institute of Biology, Federal University of Bahia, Brazil. Coordinator of the LEFHBio - History, Philosophy, and Biology Teaching Lab and the INCT IN-TREE - National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution. Between January 2020 and July 2021, he was visiting researcher at the CES - Centre for Social Studies of the University of Coimbra, Portugal. He works in the areas of philosophy of biology, ecology, ethnobiology and science education research. *** Homepage: https://www.uc.pt/fluc/uidief/io2s Auditorium: https://www.uc.pt/fluc/uidief/io2s/auditorium *** Technical support assured by Robert Junqueira. The cover image for the video was designed by Zahra Soltani. (shrink)

Explication is the conceptual cornerstone of Carnap’s approach to the methodology of scientific analysis. From a philosophical point of view, it gives rise to a number of questions that need to be addressed, but which do not seem to have been fully addressed by Carnap himself. This paper reconsiders Carnapian explication by comparing it to a different approach: the ‘formalisms as cognitive tools’ conception. The comparison allows us to discuss a number of aspects of the Carnapian methodology, as (...) well as issues pertaining to formalization in general. We start by introducing Carnap’s conception of explication, arguing that there is a tension between his proposed criteria of fruitfulness and similarity; we also argue that his further desideratum of exactness is less crucial than might appear at first. We then bring in the general idea of formalisms as cognitive tools, mainly by discussing the reliability of so-called statistical prediction rules, i.e. simple algorithms used to make predictions across a range of areas. SPRs allow for a concrete instantiation of Carnap’s fruitfulness desideratum, which is arguably the most important desideratum for him. Finally, we elaborate on what we call the ‘paradox of adequate formalization’, which for the Carnapian corresponds to the tension between similarity and fruitfulness. We conclude by noting that formalization is an inherently paradoxical enterprise in general, but one worth engaging in given the ‘cognitive boost’ it affords as a tool for discovery. (shrink)

Around the world and throughout history, in cultures as diverse as ancient Mesopotamia and modern America, human beings have been compelled by belief in gods and developed complex religions around them. But why? What makes belief in supernatural beings so widespread? And why are the gods of so many different people so similar in nature? This provocative book explains the origins and persistence of religious ideas by looking through the lens of science at the common structures and functions of human (...) thought. The first general introduction to the "cognitive science of religion," Minds and Gods presents the major themes, theories, and thinkers involved in this revolutionary new approach to human religiosity. Arguing that we cannot understand what we think until we first understand how we think, the book sets out to study the evolutionary forces that modeled the modern human mind and continue to shape our ideas and actions today. Todd Tremlin details many of the adapted features of the brain -- illustrating their operation with examples of everyday human behavior -- and shows how mental endowments inherited from our ancestral past lead many people to naturally entertain religious ideas. In short, belief in gods and the social formation of religion have their genesis in biology, in powerful cognitive processes that all humans share. In the course of illuminating the nature of religion, this book also sheds light on human nature: why we think we do the things we do and how the reasons for these things are so often hidden from view. This discussion ranges broadly across recent scientific findings in areas such as paleoanthropology, primate studies, evolutionary psychology, early brain development, and cultural transmission. While these subjects are complex, the story is told here in a conversational style that is engaging, jargon free, and accessible to all readers. With Minds and Gods, Tremlin offers a roadmap to a fascinating and growing field of study, one that is sure to generate interest and debate and provide readers with a better understanding of themselves and their beliefs. (shrink)

Motivation: A Biosocial and Cognitive Integration of Motivation and Emotion shows how motivation relates to biological, social, and cognitive issues. A wide range of topics concerning motivation and emotion are considered, including hunger and thirst, circadian and other biological rhythms, fear and anxiety, anger and aggression, achievement, attachment, and love. Goals and incentives are discussed in their application to work, child rearing, and personality. This book reviews an unusual breadth of research and provides the reader with the (...) class='Hi'>scientific basis for understanding motivation as a major variable in human and animal life. It also offers insights that can be applied to immediate and practical problems. Various areas are examined in depth, such as the relationships between reward, incentives, and motivation. The discussion of biological rhythms shows that humans and animals are more alert at certain times than others, and these rhythms also affect performance. The topics in the book span the ways in which motivation connects with many aspects of contemporary psychology. Basic issues of design and methodology, details of research procedures, and important aspects of definition and measurement, are discussed throughout the book.Motivation: A Biosocial and Cognitive Integration of Motivation and Emotion examines the way motivation functions and how it interacts with other important variables: physiological processes; learning, attention, and memory; rewards and stressors; the role of culture as well as species characteristics. The presentation makes clear in what important ways motivation, as a construct, contributes to the scientific understanding of behavior. The book offers advanced undergraduate and graduate students a broad overview of motivation. It also is of value for the professional psychologist who seeks an integrated overview of the classical and contemporary literature in the field of motivation. The book provides information on a broad range of issues and thus can be used also as supplementary reading for courses on cognition and biological as well as social psychology. (shrink)

This Handbook reviews a wealth of research in cognitive and educational psychology that investigates how to enhance learning and instruction to aid students struggling to learn and to advise teachers on how best to support student learning. The Handbook includes features that inform readers about how to improve instruction and student achievement based on scientific evidence across different domains, including science, mathematics, reading and writing. Each chapter supplies a description of the learning goal, a balanced presentation of the (...) current evidence about the efficacy of various approaches to obtaining that learning goal, and a discussion of important future directions for research in this area. It is the ideal resource for researchers continuing their study of this field or for those only now beginning to explore how to improve student achievement. (shrink)

This special issue on what some regard as a crisis of replicability in cognitive science (i.e. the observation that a worryingly large proportion of experimental results across a number of areas cannot be reliably replicated) is informed by three recent developments. -/- First, philosophers of mind and cognitive science rely increasingly on empirical research, mainly in the psychological sciences, to back up their claims. This trend has been noticeable since the 1960s (see Knobe, 2015). This development has allowed (...) philosophers to draw on a wider range of relevant resources, but it also makes them vulnerable to relying on claims that may not survive further scrutiny. If we have reasons to believe that a large proportion of findings in the psychological sciences cannot be reliably replicated, this would be a problem for philosophers who use such findings in their work. Second, philosophers are increasingly designing and carrying out their own experiments to back up claims, or to test claims earlier made from the armchair, for example, on the perceived permissibility of diverting trolleys or on the nature of free will. This growing field of experimental philosophy has diversified the intellectual field in philosophy, but may also be vulnerable to issues of replicability that philosophers did not face before. -/- Third, the recent evidence of apparently widespread non-replicability in the social sciences (and other fields) has forced philosophers of science to grapple with long standing questions from their field from a new perspective. To what extent does replicability matter for theory construction? How do the notions of replicability and scientific progress interact? How can normative insights from philosophy of science be used in order to improve scientific practice? -/- It is with these three developments in mind—the increasing importance of empirically-informed philosophy, of experimental philosophy, and of philosophy of science around replicability—that this special issue has been conceived. (shrink)

The rise of cognitive science in the last half-century has been accompanied by a considerable amount of philosophical activity. No other area within analytic philosophy in the second half of that period has attracted more attention or produced more publications. Philosophical work relevant to cognitive science has become a sprawling field (extending beyond analytic philosophy) which no one can fully master, although some try and keep abreast of the philosophical literature and of the essential scientific developments. (...) Due to the particular nature of its subject, it touches on a multitude of distinct special branches in philosophy and in science. It has also become quite a difficult, complicated and technical field, to the point of being nearly impenetrable for philosophers or scientists coming from other fields or traditions. Finally, it is contentious: Cognitive science is far from having reached stability, it is still widely regarded with suspicion, philosophers working within its confine have sharp disagreements amongst themselves, and philosophers standing outside, especially (but not only) of non-analytic persuasion, are often inclined to see both cognitive science and its accompanying philosophy as more or less confused or even deeply flawed. The sensible way to go under the circumstances, or so one might judge, would be to pick a sample of salient topics, in the present case, philosophical discussions of some central foundational issues, in the hope thereby of giving the reader a sense of what the field is about. This however is not the path I propose to take. There are two reasons for choosing another tack. The negative reason is that there is now available a plethora of excellent expositions, of any length one might desire, from one-page summaries to chapter- or volume-length introductions, of central topics in philosophy of mind (which constitutes in turn the core of what most philosophers think of as philosophy of cognitive science: more on this in a moment)1.. (shrink)

Colour fascinates all of us, and scientists and philosophers have sought to understand the true nature of colour vision for many years. In recent times, investigations into colour vision have been one of the main success stories of cognitive science, for each discipline within the field - neuroscience, psychology, linguistics, computer science and artificial intelligence, and philosophy - has contributed significantly to our understanding of colour. Evan Thompson's book is a major contribution to this interdisciplinary project. Colour Vision provides (...) an accessible review of the current scientific and philosophical discussions of colour vision. Thompson steers a course between the subjective and objective positions on colour, arguing for a relational account. This account develops a novel `ecological' approach to colour vision in cognitive science and the philosophy of perception. It is vital reading for all cognitive scientists and philosophers whose interests touch upon this central area. (shrink)

Phenomenon of transdisciplinarity was put into the fore of analysis rather recently. In the article an attempt is made to find out whether it is possible to attribute this phenomenon not only to a science of the 21st century, or we have here the case where some scientific realities come to the attention of researchers with certain delay and has its value for the culture in general? It is possible to judge even the emergence of a kind of (...) class='Hi'>cognitive revolution affecting both science culture. We need to find out what is meant by a transdisciplinarity, and how it differs from the inter- or multiransdisciplinarity. In the study the method of historical reconstruction, combining elements of presentism and antiqurism, was implemented. This method allows us to interpret historical events in the context of a specific level of knowledge, and at the same time to evaluate them in terms of modern ideas related to transdisciplinarity, inter- and multidisciplinarity. System-structural method, focused on an integrated analysis of the dynamics of development of cognitive processes in culture was implied as well, and the method of comparative analysis, which is aimed at comparing different but conceptually similar processes in various areas of conceptual art practice. It is in the framework of paradigm adopted a tacit agreement among scientists about the validity and effectiveness of research methods and techniques of inquiry. Within the paradigm, which presupposes certain fundamental principles, goals, and certain values shared by the scientific community, the novel sprouts of radical ideas once emerge. The scientific revolution here means a radical revision of the admissibility of accepted and proven methods, goals and values that are common to the members of the scientific community. Typically, new theories and concepts proposed and already mastered new scientific community, which is gradually replacing its representatives on the key command altitudes. The kernel of scientific community in fact is a style of thinking that is emerged in the context of a particular discipline, and then experience expansion in the form of discursive practices at a wide space of science and culture due to the novel cognitive schemes open the way to synthesize various research domains into a certain integrity. There is no question of the scientific revolution in the sense of Kuhn, since any significant goals and values of the scientific communities are not affected. Nevertheless, in some sense cognitive revolution taking place, the revolution of transdisciplinary type. The adoption of a new style of scientific thinking often gives rise to new types of objects and directions of cognitive activity, a new type of explanation that require new types of research proposals and cultural activities. Thus, the main idea of this article is that along with the Kuhn type scientific revolutions, transdisciplinary type scientific revolutions are conceivable, and even transdisciplinary cognitive types. This revolutions manifests in a change in style of reasoning, and it results in the expansion of this style to wide space of science and culture through the cognitive schemes and techniques, which enables to synthesize research and art activity in some integrity. Adoption of a new way of reasoning and the transition to new discursive practices generates new types of research facilities, new mechanisms of explanation, new cultural blueprints and instruments. Cognitive activity, based on a new style of thinking, involves multidisciplinarity, formation of new scientific and cultural institutions, and, therefore, causes a noticeable social change. Based on an analysis of interdisciplinary, multidisciplinary and transdisciplinary processes in modern science and culture the authors claim that it is namely transdisciplinarity would determine the face of science and culture in the medium term, and will form the basis for the convergence of science, technology, art, and consciousness studies in general. (shrink)

Cognitive science aims to provide scientific explanations of various mental phenomena. Attempts to study the mind, however, go back thousands of years, and what is distinctive about cognitive science is not its aim but the use of computations and representations in psychological explanations. We shall discuss whether the computational approach comes under challenge from dynamics, and look at some of the main themes in recent developments in cognitive science. In the final part of this paper we (...) shall look at two areas where cognitive science might provide significant benefits to the contemporary world. (shrink)

The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that (...) corresponding conceptions are rooted in four different aspects of our common-sense conception of mental phenomena and their explanation, which are illegitimately transferred to scientific enquiry. These four aspects pertain to the notion of explanation, to conceptions about which mental phenomena are singled out for enquiry, to an inductivist epistemology, and, in the wake of behavioristic conceptions, to a bias favoring investigations of input–output relations at the expense of enquiries into internal principles. To the extent that the cognitive neurosciences methodologically adhere to these tacit assumptions, they are prone to turn into a largely a-theoretical and data - driven endeavor while at the same time enhancing the prospects for receiving widespread public appreciation of their empirical findings. (shrink)

The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that (...) corresponding conceptions are rooted in four different aspects of our common-sense conception of mental phenomena and their explanation, which are illegitimately transferred to scientific inquiry. These four aspects pertain to the notion of explanation, to conceptions about which mental phenomena are singled out for inquiry, to an inductivist epistemology, and, in the wake of behaviouristic conceptions, to a bias favoring investigations of input-output relations at the expense of inquiries into internal principles. To the extent that the cognitive neurosciences methodologically adhere to these tacit assumptions, they are prone to turn into a largely a-theoretical and data-driven endeavor while at the same time enhancing the prospects for receiving wide-spread public appreciation of their empirical findings. (shrink)

Cognitive studies of science and technology have had a long history of largely independent research projects that have appeared in multiple outlets, but rarely together. The emergence of a new International Society for Psychology of Science and Technology suggests that this is a good time to put some of the latest work in this area into topiCS in a way that will both acquaint readers with the cutting edge in this domain and also give them a hint of (...) its history. One core theme includes how scientists, inventors, and engineers represent and solve problems; another, related theme is the extent to which they distribute and share cognition. Methodologies include fine‐grained studies of historical records, protocols of working scientists, observations and comparisons of engineering science laboratories, and computational simulations designed both to serve as research tools and also to improve scientific problem‐solving. The series of articles will conclude with the Associate Editor’s suggestions for future research. (shrink)

The author of the present paper argues that while trying to explain the institutional success of the science and its broad social impact, it is worth throwing aside the arguments concerning the universal traits of human nature, changes in the human mentality, or transformation of the culture and civilization, such as the development of capitalism or bureaucratic power. In the 16th century no new man emerged, and no mutants with overgrown brains work in modern laboratories. So one must also reject (...) the Great Divide between the cultures of the scientific and pre-scientific and replace it with multiple, uncertain and unexpected ‘not-so-great divides’, which can be described in meticulous anthropological studies. Although the achievements of science are certainly spectacular, and the gap between scientific practice and other areas of activity is so obvious, this does not mean that one must look for the “great” reasons behind this situation. One should rather focus on quite down-to-earth practices and tools used by scientists. A significant part of their activities can be described by referring to the craft of writing, reading and transforming of various types of inscriptions , and broadly understood visualization – their combining, performing, interpreting, confronting, comparing, shifting, shuffling etc. The important role of these tools and methods is especially visible in situations of scientific controversy. It is so because scientific controversies are won by the one able to muster on the spot the largest number of well aligned and faithful allies, and the technology of writing, printing and visualizing play a special role in mobilizing them. These are necessary to ensure that certain factors can be mobile – easy to move from place to place, and yet, immutable – not undergoing deformation as a result of the movement. This way, scientists are able to not only diffuse different types of factors relevant to the dispute and the process of constituting science, but also concentrate them in the centers of calculation, where, through accumulation, one can take actions not available elsewhere. (shrink)

Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of (...) any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained. (shrink)

Repression has remained controversial for nearly a century on account of the lack of well-controlled evidence validating it. Here we argue that the conceptual and methodological tools now exist for a rigorous scientific examination of repression, and that a nascent cognitive neuroscience of repression is emerging. We review progress in this area and highlight important questions for this field to address.

This paper undertakes a theoretical investigation of the 'learning' aspect of science as opposed to the 'knowledge' aspect. The practical background of the paper is in agricultural systems research – an area of science that can be characterised as 'systemic' because it is involved in the development of its own subject area, agriculture. And the practical purpose of the theoretical investigation is to contribute to a more adequate understanding of science in such areas, which can form a basis (...) for developing and evaluating systemic research methods, and for determining appropriate criteria of scientific quality. Two main perspectives on science as a learning process are explored: research as the learning process of a cognitive system, and science as a social, communicational system. A simple model of a cognitive system is suggested, which integrates both semiotic and cybernetic aspects, as well as a model of self-reflective learning in research, which entails moving from an inside 'actor' stance to an outside 'observer' stance, and back. This leads to a view of scientific knowledge as inherently contextual and to the suggestion of reflexive objectivity and relevance as two related key criteria of good science. (shrink)

Se realizó una revisión bibliográfica con el objetivo de valorar las implicaciones sociales de la investigación científico-tecnológica en Neurosicología del Adulto Mayor, mediante la caracterización del estado actual del proceso, los condicionantes que favorecen o impiden su desarrollo y los impactos sociales que genera. La investigación científico-tecnológica en esta área está condicionada por necesidades sociales propias del contexto actual. Se han identificado políticas, legislaciones e infraestructuras que la favorecen, aunque, existen algunas limitaciones. La producción tecnológica dirigida a la rehabilitación y (...) estimulación cognitiva continúa en ascenso, utilizando principalmente software y aplicaciones. La investigación del impacto de estas herramientas ha arrojado resultados contradictorios, lo que limita su poder de transformación social. Se pudo concluir que en Cuba es necesario estimular la transferencia de tecnología, la innovación tecnológica y la creación de alternativas de intervención ajustadas a la realidad económico-social de los adultos mayores. A bibliographical review was conducted with the aim of assessing the social implications of scientific-technological research in Senior Citizens' Neurosurgery through the characterization of the current state of the process, the determining factors that favor or stop its development and the social impact it generates. In this field, scientific-technological research is conditioned on social necessities typical of the current context. Policies, legislations and the infrastructures that favor it have been identified. Nevertheless, there are limitations. Technological production directed towards cognitive rehabilitation and stimulation continues to rise using mainly software and applications. The research on the impact of these tools has produced contradictory results, which limit their social transformation power. It was reached the conclusion that in Cuba, there's a need to stimulate technology transfer, technological innovation and the creation of intervention alternatives adapted to senior citizens' social-economic reality. (shrink)

Cognitive science, as an interdisciplinary research endeavour, seeks to explain mental activities such as reasoning, remembering, language use, and problem solving, and the explanations it advances commonly involve descriptions of the mechanisms responsible for these activities. Cognitive mechanisms are distinguished from the mechanisms invoked in other domains of biology by involving the processing of information. Many of the philosophical issues discussed in the context of cognitive science involve the nature of information processing. For philosophy of science, a (...) central question is what counts as a scientific explanation. But what is a mechanistic explanation and how does it work, how can philosophy of science use it as a solution for the problem of integration in cognitive science? By answering these questions and merging my answers with discussion of concepts of philosophy, normativity and generality, I will investigate the following claim. -/- I claim that philosophy by using strength concepts such as normativity, generality, and a mechanistic philosophy of explanations, can be a most important contributor to cognitive science. I also investigate how philosophy of science could be (can be) a bridge between psychology and neuroscience. We need a distinction between philosophy of cognitive science and philosophy in cognitive science; I am talking about the latter. -/- This claim is very important for the integration and the future of the interdisciplinary field known as cognitive science. -/- Philosophy as a true cognitive science -/- When the Cognitive Science Society was founded, in the late 1970s, philosophy, neuroscience, and anthropology were playing smaller roles. The three disciplines that formed the core group were artificial intelligence, psychology, and linguistics. The curious thing is that George Miller, a psychologist and an important founder of cognitive sciences in a hexagon diagram that he presented, put philosophy at the top of the diagram and neuroscience at the very bottom. There is enough agreement now that neuroscience is the most important contributor to cognitive science and there are fair connections between philosophy and neuroscience. In that diagram there was almost no connection between philosophy and neuroscience. -/- The developments and rise of cognitive science in the last half-century has been accompanied by considerable amount of philosophical activity. Perhaps no other area within analytic philosophy in the second half of that period has attracted more attention or produced more publications. (Bechtel and Graham, 1998. Rumelhart and Bly 1999. Bechtel, Mandik, Mundale 2001. Thagard, 2007. Bennett and Dennett et al, 2007. Bennett and Hacker, 2008. Andler, 2009. Frankish and Ramsey, 2012.) -/- Many philosophers of science offer conclusions that have a direct bearing on cognitive science and its practitioners can profit from closer engagement with the rest of cognitive science. For example, William Bechtel has discussed three projects, two in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years, that he contends, can make theoretical and methodological contributions to cognitive science (Bechtel, 2009). Paul Thagard is another example of the mentioned emerging school of philosophers of science that define cognitive science as the interdisciplinary investigation of mind and intelligence (Thagard, 2006). Thagard by presenting some general but important philosophical questions such as, “What is the nature of the explanations and theories developed in cognitive science?”, and by providing answers to these central questions has showed how philosophy of science can help cognitive science by the advantage of its generality. Andrew Brook, however, believes that philosophical approaches have never had a settled place in cognitive science but he is listed in a group of the philosophers of science that they are contributing very closely the cognitive science (Brook, 2009). Daniel Dennett , as well as being a member the mentioned naturalistic philosophers of science, believes that there is much good work for philosophers to do in cognitive science if they adopt the constructive attitude that prevails in science. -/- What are mechanisms? Let us begin abstractly before considering an example. Mechanisms are collections of entities and activities organized together to do something (cf. Machamer, Darden, & Craver, 2000; Craver & Darden, 2001; Bechtel &Richardson, 1993; Glennan, 1996). These explanations are known as ‘mechanistic explanations’. By using and developing these mechanistic explanations of philosophy of science one can draw normative consequences for cognitive science. Paul Thagard (Thagard, 2006 and 2009), William Bechtel (Bechtel, 2008 and 2009), Andrew Brook (Brook, 2008) investigated and promoted using the ‘normativity’ in philosophy to show a better and crucial role for philosophy of science in an interdisciplinary known as cognitive science. Some philosophers have thought that, in order to pursue this normative function, philosophy must distance itself from empirical matters, but there are examples where the investigations of descriptive and normative issues go hand in hand. ( Thagard, 2009). -/- I will investigate how we can reduce a higher-level science such as psychology to neuroscience without the problems of reductionism but via mechanistic explanations. By problem I mean psychology does not lose its autonomy. -/- Conclusion -/- If cognitive science is all about understanding the human mind, or if cognitive science is the interdisciplinary investigation of mind and intelligence, since the whole life of philosophy was involving with the ways of knowing (epistemology) and conceptions of reality (metaphysics), also philosophy has considered the so-called mind-body problem ( identity theory, functionalism, and heuristic identity theory) , then philosophy could be the most deserved discipline to be a most contributor in cognitive science. I tried to discuss this by using the three advantages in philosophy, normativity, and generality and by introducing an emerging school of mechanistic (not mechanical) philosophers. One thing left, as cognitive science is a two-way street, philosophers need also to stop in a station of cognitive science and learn from the most important advances in brain and neuroscience. -/- . (shrink)

This volume is a collection of papers that explore various areas of common interest between philosophy, computing, and cognition. The book illustrates the rich intrigue of this fascinating recent intellectual story. It begins by providing a new analysis of the ideas related to computer ethics, such as the role in information technology of the so-called moral mediators, the relationship between intelligent machines and warfare, and the new opportunities offered by telepresnece, for example in teaching and learning. The book also ties (...) together the concerns of epistemology and logic, showing, for example, the connections between computers, bio-robotics, and scientific research and between computational programs and scientific discovery. Important results coming from recent computational models of deduction, the dynamic nature of meaning, and the role of reasoning and learning in spatial, visual and exemplar-based compuational frameworks are also addressed. Some stimulating papers carefully study how the interplay between computing and philosophy has also shed new light on the role of rational acceptance in the logic of belief and on the status of old philosophical topics like embodiment and consciousness, the role of information and the problem of realism in the new digital world. Finally, a considerable part of the book addresses the role of intenal and external representations in scientific reasoning and creative inferences as well as the place of manipulation of objects and artifacts in human cognition. Taking these topics together this book describes an aspect of an emerging agenda which is likely to carry the interaction between philosophy, cognition and computing forward into the twenty-first century. The volume is based on the papers that were presented at the International European Conference Computing and Philosophy, E-CAP2004, Italy, held at the University of Paiva, Paiv, Italy in June 2004, chaired by Lorenzo Magnani. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Handbook of Cognitive Mathematics ed. by Marcel DanesiNathan HaydonMarcel Danesi (Ed) Handbook of Cognitive Mathematics Cham, Switzerland: Springer International, 2022, vii + 1383, including indexFor one acquainted with C.S. Peirce, it is hard to see Springer's recent Handbook of Cognitive Mathematics (editor: Marcel Danesi) through none other than a Peircean lens. Short for the cognitive science of mathematics, such a modern, scientific pursuit (...) into the nature and study of mathematical practice would no doubt be found agreeable to Peirce. The fact that references to Peirce appear often throughout the Handbook is a welcome find, with Peirce's ideas being a key subject of half a dozen chapters, and where a reader of any other chapter may well find further connections to Peirce's ideas. After spending time with the Handbook, it is clear that cognitive mathematics has not only embraced some of Pierce's ideas but may be at an important forefront of Peirce studies. In the end, the field may well be an area a Peircean should pay attention to.The book itself is pitched as a reference volume to the field (p. v) with the necessary background to familiarize oneself with the aims and results. The connection to cognitive science may call to mind detailed cognitive models [Ch. 10–14], theories on the origins of numeracy and other theories behind the biological and evolutionary requirements of mathematical thought [Ch.15–18], and the like. These are all present. But a key theme of the Handbook is to situate mathematics not just within more traditional 'cognitive' faculties and the more formal, i.e. algebraic, presentations of mathematics, but also to place mathematics within other human faculties and practices, from the arts to language [Ch. 19–22], within education and learning more broadly [Ch. 23–26], and in relation to the significant, though at first perhaps less quantitative parts of mathematics, like the use of metaphor, gesture, analogy, [End Page 243] abstraction, as well as further cultural and ethnographic considerations [Ch. 5–8]. The Handbook has explicitly taken a broader, more interdisciplinary approach (p. vi–vii) towards the scientific aspects of mathematical practice—choosing to regulate the study not by antecedently drawn opinions about what mathematics is (or has traditionally been taken to be) but by what future quantifiable and diverse study may come to bear on the practice and have to say about those engaging in it.This broad interdisciplinarity has a pragmatist ring, where theory cannot so easily be separated from the normative, social, and, more generally, the more thoroughly human aspects that we encounter and employ when we engage in it. Two further commitments of cognitive mathematics steer us even closer towards Peirce's views. The first—going back, for example, to Lakoff and Núñez's Where Mathematics Comes From (2000), which is taken to be a key early work in shaping the field—is that mathematics is taken to be a language like any other and as such must be learned and situated within our other cognitive faculties (p. vi, Ch. 4). The second—and largely, one imagines, following from a concern for seeing how mathematics is actually practiced—is that mathematics is essentially diagrammatic, involving as it does experimenting in diagrams and employing other signs (one may think here even of the mathematician sketching equations or geometric figures on a sheet of paper). What is perhaps initially most noteworthy about Peirce's philosophy of mathematics is his early concern for both these aspects of the practice.The book (more like a tome of over 1300 pages) is too large to be covered here in all its aspects, hence the review will focus on those aspects a Peircean or Pragmatist may find of interest. In particular, this review focuses on several of the themes above—situating mathematics more broadly within our everyday (cognitive) lives, the necessarily diagrammatic, fallible, and creative aspects of the practice, and, finally, what these aspects may have to say about Peirce's philosophy more generally, particularly with respect to (scientific) inquiry.A Peircean reader may well begin with Pietarinen's "Pragmaticism as Philosophy of Cognitive Mathematics" [Ch. 39] and "Peirce on Mathematical... (shrink)

Abstract.There is ample evidence that humans (and other primates) possess a knowledge instinct—a biologically driven impulse to make coherent sense of the world at the highest level possible. Yet behavioral decision‐making data suggest a contrary biological drive to minimize cognitive effort by solving problems using simplifying heuristics. Individuals differ, and the same person varies over time, in the strength of the knowledge instinct. Neuroimaging studies suggest which brain regions might mediate the balance between knowledge expansion and heuristic simplification. One (...) region implicated in primary emotional experience is more activated in individuals who use primitive heuristics, whereas two areas of the cortex are more activated in individuals with a strong knowledge drive: one region implicated in detecting risk or conflict and another implicated in generating creative ideas. Knowledge maximization and effort minimization are both evolutionary adaptations, and both are valuable in different contexts. Effort minimization helps us make minor and routine decisions efficiently, whereas knowledge maximization connects us to the beautiful, to the sublime, and to our highest aspirations. We relate the opposition between the knowledge instinct and heuristics to the biblical story of the fall, and argue that the causal scientific worldview is mathematically equivalent to teleological arguments from final causes. Elements of a scientific program are formulated to address unresolved issues. (shrink)

This edited volume of 13 new essays aims to turn past discussions of natural kinds on their head. Instead of presenting a metaphysical view of kinds based largely on an unempirical vantage point, it pursues questions of kindedness which take the use of kinds and activities of kinding in practice as significant in the articulation of them as kinds. The book brings philosophical study of current and historical episodes and case studies from various scientific disciplines to bear on natural (...) kinds as traditionally conceived of within metaphysics. Focusing on these practices reveals the different knowledge-producing activities of kinding and processes involved in natural kind use, generation, and discovery. -/- Specialists in their field, the esteemed group of contributors use diverse empirically responsive approaches to explore the nature of kindhood. This groundbreaking volume presents detailed case studies that exemplify kinding in use. Newly written for this volume, each chapter engages with the activities of kinding across a variety of disciplines. Chapter topics include the nature of kinds, kindhood, kinding, and kind-making in linguistics, chemical classification, neuroscience, gene and protein classification, colour theory in applied mathematics, homology in comparative biology, sex and gender identity theory, memory research, race, extended cognition, symbolic algebra, cartography, and geographic information science. -/- The volume seeks to open up an as-yet unexplored area within the emerging field of philosophy of science in practice, and constitutes a valuable addition to the disciplines of philosophy and history of science, technology, engineering, and mathematics. -/- Contributions from a diverse group of established and junior scholars in the fields of Philosophy and History and Philosophy of Science including Hasok Chang, Jordi Cat, Sally Haslanger, Joyce C. Havstad, Catherine Kendig, Bernhard Nickel, Josipa Petrunic, Samuli Pöyhönen, Thomas A. C. Reydon, Quayshawn Spencer, Jackie Sullivan, Michael Wheeler, and Rasmus Grønfeldt Winther. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Folk Psychology and the Psychological Background of Scientific ReasoningHarald Walach (bio)Keywordstheory of psychology, theory of science, psychology of science, mind-body problem, folk psychology, scientific world viewSome protagonists of science who are still married to a positivist model of how science functions see science as the pure pursuit of knowledge, free of any preconceptions, free of any personal interest, yielding clear and ideally everlasting truths beckoning humanity over (...) from a superstition ridden dark age of beliefs and would-be knowledge toward the dawn of rational insights that allow for the bettering of mankind’s problems. Scientists have followed such an implicit model since Francis Bacon’s Novum Organon, and the most recent reverberations we hear in popular science books like The God Delusion by Dawkins (2006) or in more scientific ones on how an eliminative materialist account of mental events such as Patricia Churchland’s might work (Churchland 1986). Here, it is explicitly stated that our folk-psychological accounts such as “I love Emma,” or “I have a nasty back ache” is nothing but sloppy speaking and will soon be replaced by a more scientific account, once we know the interior workings of our brains, such as “Neuron assembly xyz in my nucleus abc in brain areas efg is firing” or “Fast A1 fibers are transmitting stimuli from my lumbar region to the brain, where they override endorphin- and enkephalin-mediated inhibiting pathways, enabling the pain network to go crazy.” It has been more than twenty years now since the publication of that somewhat futuristic account, and a whole decade of the brain and countless papers have taught us that we are very far, in fact light years away, from such knowledge as eliminative and even less eliminative materialists would have us gained by now, or in another twenty years from now.Folk psychology is well and alive, and even more vital than ever, it seems. People go about having their beliefs and ideas about God, the mind, the soul, the world, and human beings in general just as well, eliminative materialists and neuroscience notwithstanding. The data presented by Fahrenberg speak a clear language: Students of different disciplines, but most prominently psychology students, adhere mostly to a dualist—ontological or methodological—world view that allows for some substantiality of consciousness. They suppose that some transcendent reality is active and about, they assume that paranormal events such as spiritual and distant healing can [End Page 209] happen, that telepathy is an option, to name but the more prominent statements to be gleaned by Fahrenberg’s tables.Sure, these are students at the beginning of their career, as they come from school, some of them in their second year, some of them mature after having done some other training. They have had contact with the scientific world view mostly through their schooling and private reading, and, of course, through our folk culture. It would be extremely interesting to see a longitudinal study, surveying the same students after four years of studies. Will they then be more conformist with the mainstream scientific notion? Will they then have changed their initial belief systems? Will they have integrated and absorbed the knowledge they were taught into their private lives and worldviews, or will they have kept them apart from each other? We do not have the answer to these questions, and surely, a next step would be to follow a cohort of students, albeit small, through their journey as they progress.Meanwhile, we can all take ourselves as an example to follow this thought along as a gedan-kenexperiment. Did we allow the knowledge we absorbed from studying to permeate our whole private life? How did we deal with any cognitive dissonance arising from information coming out of our studies conflicting with our private belief systems? Did we throw away our personal beliefs or did we organize our lives in two compartments, one for our private life, and one for our scientific knowledge?Fahrenberg’s data are unique in the sense that nobody bothers about folk psychology, and these data are the only ones that actually tap into the belief systems of those that will become scientists, teachers, therapists and trainers... (shrink)

In the debate on the ethics of the non-medical use of pharmaceuticals for cognitive performance enhancement in healthy individuals there is a clear division between those who view “cognitive enhancement” as ethically unproblematic and those who see such practices as fraught with ethical problems. Yet another, more subtle issue, relates to the relevance and quality of the contribution of scholarly bioethics to this debate. More specifically, how have various forms of speculation, anticipatory ethics, and methods to predict (...) class='Hi'>scientific trends and societal responses augmented or diminished this contribution? In this paper, we use the discussion of the ethics of cognitive enhancement to explore the positive and negative contribution of speculation in bioethics scholarship. First, we review and discuss how speculation has relied on different sets of assumptions regarding the non-medical use of stimulants, namely: terminology and framing; scientific aspects such as efficacy and safety; estimates of prevalence and consequent normalization; and the need for normative reflection and regulatory guidelines. Second, three methodological guideposts are proposed to alleviate some of the pitfalls of speculation: acknowledge assumptions more explicitly and identify the value attributed to assumptions; validate assumptions with interdisciplinary literature; and adopt a broad perspective to promote more comprehensive reflection. We conclude that, through the examination of the controversy about cognitive enhancement, we can employ these methodological guideposts to enhance the value of contributions from bioethics and minimize potential epistemic and practical pitfalls in this case and perhaps in other areas of bioethical debate. (shrink)